摘要
通过分析悬臂式货架立体仓库的结构和存储特点,建立了仓库利用率最大化和仓库稳定性最优化的多目标数学模型,并采用智能算法进行优化分析。仿真试验结果表明了该算法是有效的,也证明了多种群遗传算法比简单遗传算法更适合悬臂式货架立体仓库的货位优化。
The structures and storage characteristics of a cantilever rack stereoscopic warehouse was analyzed,a multi-objective mathematical model was built based on the maximization of the utilization rate of the stereoscopic warehouses and the stability optimization of the cantilever rack stereoscopic warehouses,and intelligent algorithm was used to optimize analyses.Finally,through the simulation,the results show that the algorithm is effective,and the multiple population genetic algorithm is proved more suitable than simple genetic algorithm in solving the storage position optimization for cantilever rack stereoscopic warehouses.
作者
张磊
冷杰武
龚粤
ZHANG Lei;LENG Jiewu;GONG Yue(Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology,Guangzhou,510006;State Key Laboratory of Precision Electronics Manufacturing Technology and Equipment, Guangdong University of Technology,Guangzhou,510006)
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2019年第4期467-471,479,共6页
China Mechanical Engineering
基金
国家自然科学基金资助项目(51675108)
广东省应用型科技研发资助项目(2015B010128007)
广东省科技计划资助项目(2016A010106006)
关键词
悬臂式货架立体仓库
多种群遗传算法
平面利用率最大化
稳定性
cantilever rack stereoscopic warehouse
multiple population genetic algorithm
maximization of plane utilization
stability
